Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Botanica Brasilica |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062014000300011 |
Resumo: | Accurate knowledge of floristic composition is crucial when planning and designing research projects and public policies. In this study, our goal was to assess tree sampling accuracy and to identify sites with higher concentrations of rare tree species, as well as those with the highest tree species richness, in the state of Santa Catarina, Brazil. We determined sampling accuracy using the first-order jackknife and Chao 2 estimators, calculated the number of rare species (singletons and doubletons) and applied sampled-based rarefaction. We found that sample accuracy (estimated vs. observed values) was over 90% for the state as a whole, the best estimates having been obtained for the areas of rain forest (first-order jackknife: 91%; Chao 2: 95%). Of the tree species identified, 16.6% were considered rare in the state and only 4% were found in all forest types. Among the various forest types, semideciduous forests showed the highest proportions of rare tree species. Tree species richness was highest in the rain forests and lowest in the dwarf cloud forests. Our results make an important contribution to the conservation of tree species within one of the "hottest" biodiversity hotspots in the world. |
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Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare speciesChao 2rainforestfirst-order jackkniferare speciessemideciduous forestAccurate knowledge of floristic composition is crucial when planning and designing research projects and public policies. In this study, our goal was to assess tree sampling accuracy and to identify sites with higher concentrations of rare tree species, as well as those with the highest tree species richness, in the state of Santa Catarina, Brazil. We determined sampling accuracy using the first-order jackknife and Chao 2 estimators, calculated the number of rare species (singletons and doubletons) and applied sampled-based rarefaction. We found that sample accuracy (estimated vs. observed values) was over 90% for the state as a whole, the best estimates having been obtained for the areas of rain forest (first-order jackknife: 91%; Chao 2: 95%). Of the tree species identified, 16.6% were considered rare in the state and only 4% were found in all forest types. Among the various forest types, semideciduous forests showed the highest proportions of rare tree species. Tree species richness was highest in the rain forests and lowest in the dwarf cloud forests. Our results make an important contribution to the conservation of tree species within one of the "hottest" biodiversity hotspots in the world.Sociedade Botânica do Brasil2014-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062014000300011Acta Botanica Brasilica v.28 n.3 2014reponame:Acta Botanica Brasilicainstname:Sociedade Botânica do Brasil (SBB)instacron:SBB10.1590/0102-33062014abb3146info:eu-repo/semantics/openAccessRezende,Vanessa LeiteEisenlohr,Pedro V.Gasper,André Luís deVibrans,Alexander ChristianOliveira-Filho,Ary Teixeira deeng2014-10-06T00:00:00Zoai:scielo:S0102-33062014000300011Revistahttps://www.scielo.br/j/abb/ONGhttps://old.scielo.br/oai/scielo-oai.phpacta@botanica.org.br||acta@botanica.org.br|| f.a.r.santos@gmail.com1677-941X0102-3306opendoar:2014-10-06T00:00Acta Botanica Brasilica - Sociedade Botânica do Brasil (SBB)false |
dc.title.none.fl_str_mv |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
title |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
spellingShingle |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species Rezende,Vanessa Leite Chao 2 rainforest first-order jackknife rare species semideciduous forest |
title_short |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
title_full |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
title_fullStr |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
title_full_unstemmed |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
title_sort |
Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species |
author |
Rezende,Vanessa Leite |
author_facet |
Rezende,Vanessa Leite Eisenlohr,Pedro V. Gasper,André Luís de Vibrans,Alexander Christian Oliveira-Filho,Ary Teixeira de |
author_role |
author |
author2 |
Eisenlohr,Pedro V. Gasper,André Luís de Vibrans,Alexander Christian Oliveira-Filho,Ary Teixeira de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Rezende,Vanessa Leite Eisenlohr,Pedro V. Gasper,André Luís de Vibrans,Alexander Christian Oliveira-Filho,Ary Teixeira de |
dc.subject.por.fl_str_mv |
Chao 2 rainforest first-order jackknife rare species semideciduous forest |
topic |
Chao 2 rainforest first-order jackknife rare species semideciduous forest |
description |
Accurate knowledge of floristic composition is crucial when planning and designing research projects and public policies. In this study, our goal was to assess tree sampling accuracy and to identify sites with higher concentrations of rare tree species, as well as those with the highest tree species richness, in the state of Santa Catarina, Brazil. We determined sampling accuracy using the first-order jackknife and Chao 2 estimators, calculated the number of rare species (singletons and doubletons) and applied sampled-based rarefaction. We found that sample accuracy (estimated vs. observed values) was over 90% for the state as a whole, the best estimates having been obtained for the areas of rain forest (first-order jackknife: 91%; Chao 2: 95%). Of the tree species identified, 16.6% were considered rare in the state and only 4% were found in all forest types. Among the various forest types, semideciduous forests showed the highest proportions of rare tree species. Tree species richness was highest in the rain forests and lowest in the dwarf cloud forests. Our results make an important contribution to the conservation of tree species within one of the "hottest" biodiversity hotspots in the world. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062014000300011 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062014000300011 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0102-33062014abb3146 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Botânica do Brasil |
publisher.none.fl_str_mv |
Sociedade Botânica do Brasil |
dc.source.none.fl_str_mv |
Acta Botanica Brasilica v.28 n.3 2014 reponame:Acta Botanica Brasilica instname:Sociedade Botânica do Brasil (SBB) instacron:SBB |
instname_str |
Sociedade Botânica do Brasil (SBB) |
instacron_str |
SBB |
institution |
SBB |
reponame_str |
Acta Botanica Brasilica |
collection |
Acta Botanica Brasilica |
repository.name.fl_str_mv |
Acta Botanica Brasilica - Sociedade Botânica do Brasil (SBB) |
repository.mail.fl_str_mv |
acta@botanica.org.br||acta@botanica.org.br|| f.a.r.santos@gmail.com |
_version_ |
1752126661251301376 |